Shipping AI agents with boundaries

AI agents become useful when they can plan, retrieve context, call tools, and complete work across multiple steps. They become risky when nobody can explain the job they own, the tools they can use, or the point where a human must approve the next action.

The first engineering decision is not the model. It is the boundary. A good agent has a narrow purpose, a known set of inputs, explicit tool permissions, and observable behavior. That gives the team a way to evaluate failures and improve the workflow without turning every change into a guess.

Svorus treats agent design as production engineering: role definition, retrieval rules, tool contracts, evaluations, logging, release gates, and operations from the start.